Pyspark Developer

2 days ago

chennai, India Tata Consultancy Services Full time

TCS is Hiring Location :Bangalore, Chennai, Kolkata, Hyderabad, PuneExp : 4-8 Yrs Functional Skills: Experience in Credit Risk/Regulatory risk domainTechnical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting Good to Have Skills: Exposure to Machine Learning TechniquesJob Description:4+ Years of experience with Developing/Fine tuning and implementing programs/applicationsUsing Python/PySpark/Scala on Big Data/Hadoop Platform.Roles and Responsibilities:a) Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models inconsumer and wholesale bankingb) Enhance Machine Learning Models using PySparkc) Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them allthe way to Production Environmentd) Participate Feature Engineering, Training Models, Scoring and retraininge) Architect Data Pipeline and Automate Data Ingestion and Model JobsSkills and competencies:Required:· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performanceData and macro-economic data to solve business problems.· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes inCredit Risk/Banking· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.· Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.· Experience in systems integration, web services, batch processing· Experience in migrating codes to PySpark/Scala is big Plus· The ability to act as liaison conveying information needs of the business to IT and data constraints to the businessapplies equal conveyance regarding business strategy and IT strategy, business processes and work flow· Flexibility in approach and thought process· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

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